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Items: 1 to 20 of 145

1.

Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation.

Chiu SJ, Li XT, Nicholas P, Toth CA, Izatt JA, Farsiu S.

Opt Express. 2010 Aug 30;18(18):19413-28. doi: 10.1364/OE.18.019413.

2.

Robust automatic segmentation of corneal layer boundaries in SDOCT images using graph theory and dynamic programming.

Larocca F, Chiu SJ, McNabb RP, Kuo AN, Izatt JA, Farsiu S.

Biomed Opt Express. 2011 Jun 1;2(6):1524-38. doi: 10.1364/BOE.2.001524. Epub 2011 May 12.

3.

Automatic segmentation of up to ten layer boundaries in SD-OCT images of the mouse retina with and without missing layers due to pathology.

Srinivasan PP, Heflin SJ, Izatt JA, Arshavsky VY, Farsiu S.

Biomed Opt Express. 2014 Jan 7;5(2):348-65. doi: 10.1364/BOE.5.000348. eCollection 2014 Feb 1.

4.

Automated layer segmentation of optical coherence tomography images.

Lu S, Cheung CY, Liu J, Lim JH, Leung CK, Wong TY.

IEEE Trans Biomed Eng. 2010 Oct;57(10):2605-8. doi: 10.1109/TBME.2010.2055057. Epub 2010 Jun 28.

PMID:
20595078
5.

User-guided segmentation for volumetric retinal optical coherence tomography images.

Yin X, Chao JR, Wang RK.

J Biomed Opt. 2014 Aug;19(8):086020. doi: 10.1117/1.JBO.19.8.086020.

6.

Segmentation of intra-retinal layers from optical coherence tomography images using an active contour approach.

Yazdanpanah A, Hamarneh G, Smith BR, Sarunic MV.

IEEE Trans Med Imaging. 2011 Feb;30(2):484-96. doi: 10.1109/TMI.2010.2087390. Epub 2010 Oct 14.

PMID:
20952331
7.

Order preserving and shape prior constrained intra-retinal layer segmentation in optical coherence tomography.

Rathke F, Schmidt S, Schnörr C.

Med Image Comput Comput Assist Interv. 2011;14(Pt 3):370-7.

PMID:
22003721
8.

Graph-based multi-surface segmentation of OCT data using trained hard and soft constraints.

Dufour PA, Ceklic L, Abdillahi H, Schröder S, De Dzanet S, Wolf-Schnurrbusch U, Kowal J.

IEEE Trans Med Imaging. 2013 Mar;32(3):531-43. doi: 10.1109/TMI.2012.2225152. Epub 2012 Oct 18.

PMID:
23086520
9.

Automated segmentation of intramacular layers in Fourier domain optical coherence tomography structural images from normal subjects.

Zhang X, Yousefi S, An L, Wang RK.

J Biomed Opt. 2012 Apr;17(4):046011. doi: 10.1117/1.JBO.17.4.046011.

10.

Automated layer segmentation of macular OCT images using dual-scale gradient information.

Yang Q, Reisman CA, Wang Z, Fukuma Y, Hangai M, Yoshimura N, Tomidokoro A, Araie M, Raza AS, Hood DC, Chan K.

Opt Express. 2010 Sep 27;18(20):21293-307. doi: 10.1364/OE.18.021293.

11.

Spectral-domain optical coherence tomography with multiple B-scan averaging for enhanced imaging of retinal diseases.

Sakamoto A, Hangai M, Yoshimura N.

Ophthalmology. 2008 Jun;115(6):1071-1078.e7. Epub 2007 Dec 3.

PMID:
18061270
12.

FloatingCanvas: quantification of 3D retinal structures from spectral-domain optical coherence tomography.

Zhu H, Crabb DP, Schlottmann PG, Ho T, Garway-Heath DF.

Opt Express. 2010 Nov 22;18(24):24595-610. doi: 10.1364/OE.18.024595.

PMID:
21164806
13.

In vivo assessment of retinal neuronal layers in multiple sclerosis with manual and automated optical coherence tomography segmentation techniques.

Seigo MA, Sotirchos ES, Newsome S, Babiarz A, Eckstein C, Ford E, Oakley JD, Syc SB, Frohman TC, Ratchford JN, Balcer LJ, Frohman EM, Calabresi PA, Saidha S.

J Neurol. 2012 Oct;259(10):2119-30. doi: 10.1007/s00415-012-6466-x. Epub 2012 Mar 15.

PMID:
22418995
14.

[Automated segmentation of retina layer structures on optical coherence tomography].

Gao Y, Li Y, Wang L, Zhang M.

Zhongguo Yi Liao Qi Xie Za Zhi. 2014 Mar;38(2):94-7, 101. Chinese.

PMID:
24941769
15.

Development of a semi-automatic segmentation method for retinal OCT images tested in patients with diabetic macular edema.

Huang Y, Danis RP, Pak JW, Luo S, White J, Zhang X, Narkar A, Domalpally A.

PLoS One. 2013 Dec 26;8(12):e82922. doi: 10.1371/journal.pone.0082922. eCollection 2013.

16.

Validated automatic segmentation of AMD pathology including drusen and geographic atrophy in SD-OCT images.

Chiu SJ, Izatt JA, O'Connell RV, Winter KP, Toth CA, Farsiu S.

Invest Ophthalmol Vis Sci. 2012 Jan 5;53(1):53-61. doi: 10.1167/iovs.11-7640.

PMID:
22039246
17.

Kernel regression based segmentation of optical coherence tomography images with diabetic macular edema.

Chiu SJ, Allingham MJ, Mettu PS, Cousins SW, Izatt JA, Farsiu S.

Biomed Opt Express. 2015 Mar 9;6(4):1172-94. doi: 10.1364/BOE.6.001172. eCollection 2015 Apr 1.

18.

Automated 3-D intraretinal layer segmentation of macular spectral-domain optical coherence tomography images.

Garvin MK, Abràmoff MD, Wu X, Russell SR, Burns TL, Sonka M.

IEEE Trans Med Imaging. 2009 Sep;28(9):1436-47. doi: 10.1109/TMI.2009.2016958. Epub 2009 Mar 10.

19.

Segmentation of choroidal boundary in enhanced depth imaging OCTs using a multiresolution texture based modeling in graph cuts.

Danesh H, Kafieh R, Rabbani H, Hajizadeh F.

Comput Math Methods Med. 2014;2014:479268. doi: 10.1155/2014/479268. Epub 2014 Feb 11.

20.

Analysis of posterior retinal layers in spectral optical coherence tomography images of the normal retina and retinal pathologies.

Szkulmowski M, Wojtkowski M, Sikorski B, Bajraszewski T, Srinivasan VJ, Szkulmowska A, Kałuzny JJ, Fujimoto JG, Kowalczyk A.

J Biomed Opt. 2007 Jul-Aug;12(4):041207.

PMID:
17867796
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